Mac Studio
Geekbench AI Score
3586
Single Precision Score
14967
Half Precision Score
14725
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 06:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
6283
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5957
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8958
145.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9525
154.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10550
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
69358
80.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65274
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.5 IPS |
|
|
Object Detection (HP)
|
99% |
7187
571.7 IPS |
|
|
Object Detection (Q)
|
91% |
6688
534.4 IPS |
|
|
Face Detection (SP)
|
100% |
3274
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
13622
161.9 IPS |
|
|
Face Detection (Q)
|
100% |
12727
151.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5613
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
47042
362.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
48717
380.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22040
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
118785
152.7 IPS |
|
|
Style Transfer (Q)
|
96% |
111769
144.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4076
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25042
924.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26315
971.7 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
4085
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4110
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3001
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2583
44.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2583
44.6 IPS |
