Mac Studio
Geekbench AI Score
3711
Single Precision Score
5965
Half Precision Score
4786
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | mtx_1 |
| Upload Date | August 02 2025 11:47 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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% |
1365
253.8 IPS |
|
|
Image Classification (HP)
|
100% |
2077
386.3 IPS |
|
|
Image Classification (Q)
|
96% |
1516
283.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2269
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2590
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11050
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
23220
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17778
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2329
185.4 IPS |
|
|
Object Detection (Q)
|
94% |
1729
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
3404
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
5495
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
3192
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5836
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10475
81.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7280
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22347
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35360
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28158
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4238
156.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5547
204.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4020
148.4 IPS |
|
|
Text Classification (SP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (HP)
|
99% |
3890
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3904
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3200
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5100
88.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5090
88.0 IPS |
