Mac Studio
Geekbench AI Score
2640
Single Precision Score
4065
Half Precision Score
3402
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | obb1009 |
| Upload Date | September 04 2024 06:51 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac Studio |
| Model ID | Mac13,2 |
| Motherboard | Mac13,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Ultra |
| Topology | 1 Processor, 20 Cores |
| Identifier | Apple M1 Ultra |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1268
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
1550
288.3 IPS |
|
|
Image Classification (Q)
|
99% |
1534
286.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1117
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5575
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
13108
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11192
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (HP)
|
97% |
1870
148.9 IPS |
|
|
Object Detection (Q)
|
94% |
1460
116.3 IPS |
|
|
Face Detection (SP)
|
100% |
2616
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
3910
46.5 IPS |
|
|
Face Detection (Q)
|
100% |
2623
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5024
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7881
60.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
3500
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14278
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23126
29.7 IPS |
|
|
Style Transfer (Q)
|
100% |
23136
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3147
116.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3713
137.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3233
119.8 IPS |
|
|
Text Classification (SP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3564
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3503
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1153
19.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3064
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3087
53.4 IPS |
