Mac Studio (2023)
Geekbench AI Score
12834
Single Precision Score
13256
Half Precision Score
4082
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 08:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6312
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6461
1.20 KIPS |
|
|
Image Classification (Q)
|
97% |
4911
916.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
13334
216.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13409
217.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12402
201.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
82110
95.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
85793
100.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
76823
90.0 IPS |
|
|
Object Detection (SP)
|
100% |
5933
470.6 IPS |
|
|
Object Detection (HP)
|
100% |
6460
512.4 IPS |
|
|
Object Detection (Q)
|
92% |
5286
422.0 IPS |
|
|
Face Detection (SP)
|
100% |
25654
304.8 IPS |
|
|
Face Detection (HP)
|
100% |
25711
305.5 IPS |
|
|
Face Detection (Q)
|
100% |
18060
214.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32411
249.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
32755
252.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
218.3 IPS |
|
|
Style Transfer (SP)
|
100% |
133400
171.5 IPS |
|
|
Style Transfer (HP)
|
100% |
149149
191.7 IPS |
|
|
Style Transfer (Q)
|
96% |
137301
177.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20031
739.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20795
767.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15726
580.7 IPS |
|
|
Text Classification (SP)
|
100% |
613
818.1 IPS |
|
|
Text Classification (HP)
|
100% |
616
822.2 IPS |
|
|
Text Classification (Q)
|
93% |
618
829.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2171
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2169
37.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2157
37.3 IPS |
