Mac Studio
Geekbench AI Score
12915
Single Precision Score
14377
Half Precision Score
13513
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | michaldepta |
| Upload Date | January 06 2026 09:43 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5142
956.3 IPS |
|
|
Image Classification (HP)
|
100% |
5085
945.7 IPS |
|
|
Image Classification (Q)
|
96% |
4774
891.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
11792
191.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12126
196.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11497
186.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
57083
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
62453
72.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
59630
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
5190
411.7 IPS |
|
|
Object Detection (HP)
|
100% |
5382
426.9 IPS |
|
|
Object Detection (Q)
|
92% |
4951
395.2 IPS |
|
|
Face Detection (SP)
|
100% |
21419
254.5 IPS |
|
|
Face Detection (HP)
|
100% |
22416
266.3 IPS |
|
|
Face Detection (Q)
|
100% |
19243
228.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26393
203.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27923
215.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
25661
200.4 IPS |
|
|
Style Transfer (SP)
|
100% |
96688
124.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121647
156.4 IPS |
|
|
Style Transfer (Q)
|
96% |
118489
152.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16838
621.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17579
649.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15804
583.6 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4036
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4124
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3331
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3286
56.8 IPS |
