Mac Studio (2023)
Geekbench AI Score
4090
Single Precision Score
6696
Half Precision Score
5334
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | TerrenceMiao |
| Upload Date | April 08 2025 04:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
2240
416.6 IPS |
|
|
Image Classification (Q)
|
96% |
1664
310.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2560
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2879
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12732
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
25851
30.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
19213
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1662
131.8 IPS |
|
|
Object Detection (HP)
|
97% |
2635
209.8 IPS |
|
|
Object Detection (Q)
|
94% |
1923
153.3 IPS |
|
|
Face Detection (SP)
|
100% |
3409
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
5616
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3366
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6036
46.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11144
86.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7852
61.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24790
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38496
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30367
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5065
187.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6446
238.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4490
165.8 IPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4193
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4134
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4445
76.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7132
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7082
122.4 IPS |
