Mac Studio
Geekbench AI Score
3399
Single Precision Score
5682
Half Precision Score
4554
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Renegade937 |
| Upload Date | January 26 2026 08:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.14 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1193
221.9 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.9 IPS |
|
|
Image Classification (Q)
|
96% |
1380
257.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2477
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9872
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
21729
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17028
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1386
109.9 IPS |
|
|
Object Detection (HP)
|
97% |
2156
171.7 IPS |
|
|
Object Detection (Q)
|
94% |
1623
129.4 IPS |
|
|
Face Detection (SP)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
5182
61.6 IPS |
|
|
Face Detection (Q)
|
100% |
3024
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5300
40.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9700
75.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6880
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21415
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34360
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27251
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3897
143.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5539
204.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3842
141.9 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
99% |
3942
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3904
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2836
48.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4816
83.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4776
82.5 IPS |
