Mac Studio (2023)
Geekbench AI Score
4229
Single Precision Score
27450
Half Precision Score
30981
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ladapisti |
| Upload Date | October 31 2024 01:23 PM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
14638
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
17301
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19600
317.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24498
397.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13131
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
105816
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
103648
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
99% |
15858
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17604
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3659
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
35423
420.9 IPS |
|
|
Face Detection (Q)
|
100% |
45760
543.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6395
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87726
675.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
108369
846.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25198
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203196
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
191620
247.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5201
192.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41500
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49153
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4061
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4032
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4750
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4742
81.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5594
96.7 IPS |
