Mac Studio
Geekbench AI Score
3671
Single Precision Score
5835
Half Precision Score
4711
Quantized Score
Geekbench AI 1.4.0-Beta1 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 05 2025 02:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (Q)
|
96% |
1505
281.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2604
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11094
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22349
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17430
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2297
182.9 IPS |
|
|
Object Detection (Q)
|
94% |
1728
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
5320
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
3121
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5874
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10411
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7184
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21947
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32438
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26010
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4320
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5624
207.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4064
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2992
51.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4788
82.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4793
82.8 IPS |
