Mac Studio
Geekbench AI Score
3781
Single Precision Score
15702
Half Precision Score
15529
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 28 2024 01:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
6460
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6151
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9532
154.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10177
165.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11129
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70052
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65467
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.2 IPS |
|
|
Object Detection (HP)
|
99% |
7615
605.7 IPS |
|
|
Object Detection (Q)
|
91% |
7204
575.6 IPS |
|
|
Face Detection (SP)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
13453
159.9 IPS |
|
|
Face Detection (Q)
|
100% |
12429
147.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6003
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
50052
385.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
52068
406.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22520
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119135
153.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115277
148.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4348
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25838
954.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27855
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4042
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3943
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3311
57.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3372
58.3 IPS |
