Mac Studio
Geekbench AI Score
11141
Single Precision Score
12298
Half Precision Score
11297
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | October 30 2024 12:41 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5222
971.2 IPS |
|
|
Image Classification (HP)
|
100% |
5277
981.3 IPS |
|
|
Image Classification (Q)
|
97% |
4570
852.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10306
167.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10510
170.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10608
172.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
57055
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
60758
70.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
56057
65.7 IPS |
|
|
Object Detection (SP)
|
100% |
4324
343.0 IPS |
|
|
Object Detection (HP)
|
100% |
4904
389.0 IPS |
|
|
Object Detection (Q)
|
91% |
4741
378.8 IPS |
|
|
Face Detection (SP)
|
100% |
20916
248.5 IPS |
|
|
Face Detection (HP)
|
100% |
21367
253.9 IPS |
|
|
Face Detection (Q)
|
100% |
16690
198.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
26265
202.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27268
210.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
22902
179.0 IPS |
|
|
Style Transfer (SP)
|
100% |
96738
124.4 IPS |
|
|
Style Transfer (HP)
|
100% |
120753
155.2 IPS |
|
|
Style Transfer (Q)
|
96% |
112867
145.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16623
613.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16832
621.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13655
504.2 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3995
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1100
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1117
19.3 IPS |
