Mac Studio
Geekbench AI Score
3759
Single Precision Score
15869
Half Precision Score
15643
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | lagarto16 |
| Upload Date | January 02 2025 05:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1338
248.8 IPS |
|
|
Image Classification (HP)
|
100% |
6502
1.21 KIPS |
|
|
Image Classification (Q)
|
96% |
6240
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9618
155.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10281
166.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11105
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
71066
82.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66170
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.4 IPS |
|
|
Object Detection (HP)
|
99% |
7480
595.0 IPS |
|
|
Object Detection (Q)
|
91% |
7019
560.9 IPS |
|
|
Face Detection (SP)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
14568
173.1 IPS |
|
|
Face Detection (Q)
|
100% |
12769
151.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5940
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50225
387.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53230
416.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22443
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119672
153.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115380
148.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4356
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26205
967.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28056
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3966
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3391
58.6 IPS |
