Mac Studio
Geekbench AI Score
2164
Single Precision Score
12645
Half Precision Score
10478
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Mojoxer |
| Upload Date | November 17 2024 03:36 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
953
177.2 IPS |
|
|
Image Classification (HP)
|
100% |
7004
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6358
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3874
62.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
485
7.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
10189
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69515
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66034
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1108
87.9 IPS |
|
|
Object Detection (HP)
|
99% |
7426
590.8 IPS |
|
|
Object Detection (Q)
|
93% |
7137
569.5 IPS |
|
|
Face Detection (SP)
|
100% |
1953
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
11287
134.1 IPS |
|
|
Face Detection (Q)
|
100% |
11775
139.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3523
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46169
355.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
54902
429.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12283
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
118610
152.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114958
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2425
89.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18698
690.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23102
853.1 IPS |
|
|
Text Classification (SP)
|
100% |
942
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3360
4.48 KIPS |
|
|
Text Classification (Q)
|
93% |
3329
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1623
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1923
33.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1921
33.2 IPS |
