MacBook Pro (16-inch, 2023)
Geekbench AI Score
4143
Single Precision Score
6680
Half Precision Score
5216
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 04 2025 11:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.26 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
2227
414.2 IPS |
|
|
Image Classification (Q)
|
96% |
1589
296.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2574
41.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2863
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12357
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
25184
29.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
19634
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1708
135.5 IPS |
|
|
Object Detection (HP)
|
97% |
2782
221.5 IPS |
|
|
Object Detection (Q)
|
94% |
1962
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
3636
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
5720
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3248
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6199
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11842
91.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7990
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25265
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38807
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30206
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4970
183.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6911
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4401
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3874
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3940
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4506
77.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6262
108.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6262
108.2 IPS |
