Mac Studio
Geekbench AI Score
3686
Single Precision Score
16557
Half Precision Score
16450
Quantized Score
Geekbench AI 1.4.0-Beta1 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 05 2025 02:29 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
6973
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6651
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9617
155.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10444
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11218
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
71358
83.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
67535
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
99% |
8108
644.9 IPS |
|
|
Object Detection (Q)
|
91% |
7534
602.0 IPS |
|
|
Face Detection (SP)
|
100% |
3304
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
16373
194.5 IPS |
|
|
Face Detection (Q)
|
100% |
15201
180.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5742
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
52100
401.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
53855
420.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21923
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121128
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
117001
151.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4325
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26112
964.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27976
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3932
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3934
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3763
64.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3896
67.3 IPS |
