Mac Studio
Geekbench AI Score
3838
Single Precision Score
16224
Half Precision Score
16018
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | shinsh |
| Upload Date | March 31 2026 11:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
1326
246.6 IPS |
|
|
Image Classification (HP)
|
100% |
6526
1.21 KIPS |
|
|
Image Classification (Q)
|
97% |
6213
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9174
148.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9889
160.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10303
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69368
80.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65702
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
99% |
7355
585.1 IPS |
|
|
Object Detection (Q)
|
89% |
6957
556.9 IPS |
|
|
Face Detection (SP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
14272
169.6 IPS |
|
|
Face Detection (Q)
|
100% |
13568
161.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5651
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
49080
378.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
51512
403.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21899
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121907
156.7 IPS |
|
|
Style Transfer (Q)
|
96% |
114110
147.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4027
148.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25714
949.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26966
995.7 IPS |
|
|
Text Classification (SP)
|
100% |
4325
5.77 KIPS |
|
|
Text Classification (HP)
|
100% |
6884
9.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6661
8.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3067
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2737
47.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2764
47.8 IPS |
