MacBook Pro (16-inch, 2023)
Geekbench AI Score
4147
Single Precision Score
6720
Half Precision Score
5312
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | vitorcalvi |
| Upload Date | March 07 2025 08:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1372
255.2 IPS |
|
|
Image Classification (HP)
|
100% |
2195
408.3 IPS |
|
|
Image Classification (Q)
|
96% |
1621
302.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1646
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2981
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12703
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
24922
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19085
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1642
130.2 IPS |
|
|
Object Detection (HP)
|
97% |
2659
211.7 IPS |
|
|
Object Detection (Q)
|
94% |
1971
157.1 IPS |
|
|
Face Detection (SP)
|
100% |
3700
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
6036
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3528
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6432
49.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12340
95.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8181
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25347
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39526
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30297
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5105
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6996
258.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4466
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4045
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4022
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4555
78.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6354
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6276
108.5 IPS |
