Mac Studio
Geekbench AI Score
2779
Single Precision Score
4239
Half Precision Score
3670
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | frisco04 |
| Upload Date | September 07 2024 06:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1260
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
1592
296.1 IPS |
|
|
Image Classification (Q)
|
96% |
1259
235.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1713
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5612
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
13178
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11217
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1375
109.1 IPS |
|
|
Object Detection (HP)
|
97% |
1913
152.3 IPS |
|
|
Object Detection (Q)
|
94% |
1480
117.9 IPS |
|
|
Face Detection (SP)
|
100% |
2613
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
3949
46.9 IPS |
|
|
Face Detection (Q)
|
100% |
2629
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4983
38.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
7894
61.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5946
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15073
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23865
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
20386
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3280
121.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4513
166.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3293
121.6 IPS |
|
|
Text Classification (SP)
|
100% |
2206
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3598
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3632
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1593
27.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3194
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3256
56.3 IPS |
