MacBook Pro (16-inch, 2023)
Geekbench AI Score
14331
Single Precision Score
15533
Half Precision Score
14819
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | vitorcalvi |
| Upload Date | March 07 2025 08:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6934
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
6783
1.26 KIPS |
|
|
Image Classification (Q)
|
97% |
5969
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12906
209.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12637
204.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12510
202.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
82532
96.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
86494
100.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
81287
95.3 IPS |
|
|
Object Detection (SP)
|
100% |
6358
504.4 IPS |
|
|
Object Detection (HP)
|
100% |
6765
536.6 IPS |
|
|
Object Detection (Q)
|
91% |
5936
474.4 IPS |
|
|
Face Detection (SP)
|
100% |
27915
331.7 IPS |
|
|
Face Detection (HP)
|
100% |
28849
342.8 IPS |
|
|
Face Detection (Q)
|
100% |
21760
258.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33639
259.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34606
266.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
29469
230.3 IPS |
|
|
Style Transfer (SP)
|
100% |
135345
174.0 IPS |
|
|
Style Transfer (HP)
|
100% |
154636
198.8 IPS |
|
|
Style Transfer (Q)
|
96% |
143626
185.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20166
744.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20692
764.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17009
628.1 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3955
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3936
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1322
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2299
39.7 IPS |
