Mac Studio
Geekbench AI Score
3694
Single Precision Score
16569
Half Precision Score
16488
Quantized Score
Geekbench AI 1.4.0-Beta1 Pro for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 06 2025 07:59 PM |
| Views | 6 |
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% |
1347
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
6926
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6617
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9795
158.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10457
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11142
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
71236
83.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66593
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
8040
639.5 IPS |
|
|
Object Detection (Q)
|
91% |
7531
601.7 IPS |
|
|
Face Detection (SP)
|
100% |
3284
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
16321
193.9 IPS |
|
|
Face Detection (Q)
|
100% |
15263
181.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5790
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51524
397.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
54230
423.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22089
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
121101
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116951
150.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4316
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26022
960.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28059
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4030
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3210
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3911
67.6 IPS |
