Mac Studio
Geekbench AI Score
3818
Single Precision Score
15875
Half Precision Score
15757
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jamie_dwyer |
| Upload Date | November 02 2024 01:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1276
237.4 IPS |
|
|
Image Classification (HP)
|
100% |
6439
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6194
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1496
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9893
160.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10459
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15406
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70364
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66864
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
7640
607.7 IPS |
|
|
Object Detection (Q)
|
91% |
7208
575.9 IPS |
|
|
Face Detection (SP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
16106
191.4 IPS |
|
|
Face Detection (Q)
|
100% |
15257
181.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6009
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50059
385.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53670
419.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22519
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119641
153.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116053
149.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4354
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24798
915.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27274
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2156
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3790
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3829
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3275
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3046
52.6 IPS |
