MacBook Pro (16-inch, 2023)
Geekbench ML Score
10577
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 06 2025 05:06 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4752
889.2 IPS |
|
|
Image Classification (F16)
|
100% |
11313
2.12 KIPS |
|
|
Image Classification (I8)
|
99% |
12253
2.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1928
32.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2359
39.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
2118
35.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
40093
48.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
92643
112.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
94454
114.4 IPS |
|
|
Object Detection (F32)
|
100% |
3080
229.9 IPS |
|
|
Object Detection (F16)
|
100% |
3889
290.4 IPS |
|
|
Object Detection (I8)
|
97% |
3174
237.0 IPS |
|
|
Face Detection (F32)
|
100% |
12699
151.0 IPS |
|
|
Face Detection (F16)
|
97% |
19860
236.1 IPS |
|
|
Face Detection (I8)
|
96% |
18427
219.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
23649
183.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
43841
340.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
46070
357.3 IPS |
|
|
Style Transfer (F32)
|
100% |
71013
93.4 IPS |
|
|
Style Transfer (F16)
|
100% |
125709
165.4 IPS |
|
|
Style Transfer (I8)
|
100% |
133703
175.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10549
376.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25660
916.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
26265
938.0 IPS |
|
|
Text Classification (F32)
|
100% |
2164
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3586
5.15 KIPS |
|
|
Text Classification (I8)
|
96% |
3650
5.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
928
17.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1419
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
906
16.7 IPS |
