Mac Studio
Geekbench AI Score
3761
Single Precision Score
16501
Half Precision Score
16241
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pedrom |
| Upload Date | November 12 2024 07:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1325
246.3 IPS |
|
|
Image Classification (HP)
|
100% |
6877
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6633
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9700
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10278
166.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11086
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71365
83.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
65794
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.7 IPS |
|
|
Object Detection (HP)
|
99% |
7913
629.5 IPS |
|
|
Object Detection (Q)
|
91% |
7320
584.9 IPS |
|
|
Face Detection (SP)
|
100% |
3343
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
15919
189.2 IPS |
|
|
Face Detection (Q)
|
100% |
14520
172.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5858
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51322
395.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
52594
411.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22377
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119923
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
116169
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25871
955.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27868
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4001
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3983
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3951
68.3 IPS |
