MacBook Pro (16-inch, 2023)
Geekbench AI Score
14361
Single Precision Score
15792
Half Precision Score
13850
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 06 2025 11:15 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6723
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
6949
1.29 KIPS |
|
|
Image Classification (Q)
|
97% |
5992
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12698
205.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12541
203.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12535
203.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
82638
96.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
86446
100.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
80980
94.9 IPS |
|
|
Object Detection (SP)
|
100% |
6172
489.6 IPS |
|
|
Object Detection (HP)
|
100% |
6826
541.4 IPS |
|
|
Object Detection (Q)
|
91% |
5899
471.4 IPS |
|
|
Face Detection (SP)
|
100% |
28395
337.4 IPS |
|
|
Face Detection (HP)
|
100% |
27804
330.4 IPS |
|
|
Face Detection (Q)
|
100% |
21642
257.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33050
254.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34237
263.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
29046
227.0 IPS |
|
|
Style Transfer (SP)
|
100% |
135998
174.8 IPS |
|
|
Style Transfer (HP)
|
100% |
154059
198.0 IPS |
|
|
Style Transfer (Q)
|
96% |
142484
183.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20407
753.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20923
772.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17187
634.6 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4008
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1516
26.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1174
20.3 IPS |
