Mac Studio (2023)
Geekbench AI Score
4188
Single Precision Score
6834
Half Precision Score
5387
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rhoshambo_yyc |
| Upload Date | November 21 2024 04:10 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
2301
427.9 IPS |
|
|
Image Classification (Q)
|
96% |
1697
317.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1699
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2695
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3055
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12960
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25554
29.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19359
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1704
135.1 IPS |
|
|
Object Detection (HP)
|
97% |
2717
216.3 IPS |
|
|
Object Detection (Q)
|
94% |
2039
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
3608
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
6038
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3561
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6335
48.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12292
95.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8159
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25073
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39430
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30375
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5142
189.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6931
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4436
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
2327
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4027
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4631
79.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6357
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6384
110.3 IPS |
