MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
9865
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 11:15 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 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 | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5056
946.0 IPS |
|
|
Image Classification (F16)
|
100% |
7085
1.33 KIPS |
|
|
Image Classification (I8)
|
99% |
7623
1.43 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2138
35.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2220
37.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2140
35.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
32909
39.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
93845
113.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
96344
116.7 IPS |
|
|
Object Detection (F32)
|
100% |
3386
252.8 IPS |
|
|
Object Detection (F16)
|
100% |
4472
333.9 IPS |
|
|
Object Detection (I8)
|
97% |
3749
279.9 IPS |
|
|
Face Detection (F32)
|
100% |
14388
171.1 IPS |
|
|
Face Detection (F16)
|
97% |
12766
151.8 IPS |
|
|
Face Detection (I8)
|
96% |
12876
153.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
22275
172.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
41063
318.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
40146
311.3 IPS |
|
|
Style Transfer (F32)
|
100% |
74134
97.5 IPS |
|
|
Style Transfer (F16)
|
100% |
145967
192.0 IPS |
|
|
Style Transfer (I8)
|
100% |
147941
194.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9799
349.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20840
744.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19565
698.7 IPS |
|
|
Text Classification (F32)
|
100% |
487
700.6 IPS |
|
|
Text Classification (F16)
|
100% |
4083
5.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3999
5.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
1062
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3032
55.8 IPS |
|
|
Machine Translation (I8)
|
99% |
999
18.4 IPS |
