Mac Studio
Geekbench AI Score
4132
Single Precision Score
15925
Half Precision Score
16094
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 27 2024 08:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
6560
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
6450
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1666
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9824
159.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10446
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16598
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
71183
83.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66925
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1700
134.9 IPS |
|
|
Object Detection (HP)
|
99% |
7898
628.3 IPS |
|
|
Object Detection (Q)
|
91% |
7347
587.0 IPS |
|
|
Face Detection (SP)
|
100% |
3558
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
14468
171.9 IPS |
|
|
Face Detection (Q)
|
100% |
13703
162.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6286
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51570
397.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53315
416.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24278
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120329
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116529
150.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4916
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25322
935.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27423
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3994
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3967
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3605
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3189
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3802
65.7 IPS |
