Mac Studio (2023)
Geekbench AI Score
4184
Single Precision Score
6734
Half Precision Score
5320
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sth519 |
| Upload Date | April 01 2025 01:30 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.62 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
2236
415.8 IPS |
|
|
Image Classification (Q)
|
96% |
1657
309.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2512
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3033
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12958
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25609
29.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19142
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
97% |
2687
213.9 IPS |
|
|
Object Detection (Q)
|
94% |
2015
160.6 IPS |
|
|
Face Detection (SP)
|
100% |
3709
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
5865
69.7 IPS |
|
|
Face Detection (Q)
|
100% |
3450
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6426
49.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11956
92.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8033
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24978
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38924
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29731
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5123
189.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7022
259.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4499
166.1 IPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4010
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4676
80.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6416
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6310
109.0 IPS |
