MacBook Pro (16-inch, 2023)
Geekbench ML Score
7682
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 09 2024 12:49 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5988
1.12 KIPS |
|
|
Image Classification (F16)
|
100% |
5509
1.03 KIPS |
|
|
Image Classification (I8)
|
99% |
5085
951.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2151
35.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2132
35.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
2282
38.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
55324
67.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
58422
70.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
56196
68.1 IPS |
|
|
Object Detection (F32)
|
100% |
3518
262.7 IPS |
|
|
Object Detection (F16)
|
100% |
3696
275.9 IPS |
|
|
Object Detection (I8)
|
97% |
3462
258.5 IPS |
|
|
Face Detection (F32)
|
100% |
18953
225.4 IPS |
|
|
Face Detection (F16)
|
97% |
19216
228.5 IPS |
|
|
Face Detection (I8)
|
96% |
17885
212.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
27155
210.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
27392
212.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
26389
204.6 IPS |
|
|
Style Transfer (F32)
|
100% |
105820
139.2 IPS |
|
|
Style Transfer (F16)
|
100% |
114957
151.2 IPS |
|
|
Style Transfer (I8)
|
100% |
102081
134.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11735
419.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12892
460.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11272
402.6 IPS |
|
|
Text Classification (F32)
|
100% |
518
745.0 IPS |
|
|
Text Classification (F16)
|
100% |
558
801.8 IPS |
|
|
Text Classification (I8)
|
96% |
553
794.4 IPS |
|
|
Machine Translation (F32)
|
100% |
849
15.6 IPS |
|
|
Machine Translation (F16)
|
100% |
837
15.4 IPS |
|
|
Machine Translation (I8)
|
99% |
833
15.3 IPS |
