Mac Studio
Geekbench AI Score
2230
Single Precision Score
12466
Half Precision Score
12835
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mvarney |
| Upload Date | August 23 2024 06:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
875
162.7 IPS |
|
|
Image Classification (HP)
|
100% |
6996
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
7445
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3874
62.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3875
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10249
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69402
81.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
64203
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1050
83.3 IPS |
|
|
Object Detection (HP)
|
99% |
7404
589.0 IPS |
|
|
Object Detection (Q)
|
93% |
7114
567.6 IPS |
|
|
Face Detection (SP)
|
100% |
1950
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
11325
134.6 IPS |
|
|
Face Detection (Q)
|
100% |
11932
141.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3755
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46280
356.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
49277
381.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12240
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
117942
151.6 IPS |
|
|
Style Transfer (Q)
|
100% |
123174
158.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3175
117.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18637
688.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22724
841.9 IPS |
|
|
Text Classification (SP)
|
100% |
1072
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2959
3.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1580
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1903
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1892
32.7 IPS |
