Mac Studio (2023)
Geekbench AI Score
4191
Single Precision Score
26971
Half Precision Score
29987
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jhy00n |
| Upload Date | February 26 2025 02:40 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
14164
2.63 KIPS |
|
|
Image Classification (Q)
|
96% |
17042
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19607
317.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24165
391.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13101
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
106108
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104443
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1704
135.2 IPS |
|
|
Object Detection (HP)
|
99% |
15643
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17474
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3684
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
35279
419.2 IPS |
|
|
Face Detection (Q)
|
100% |
42351
503.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6410
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87422
673.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
109473
855.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24981
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
204602
263.0 IPS |
|
|
Style Transfer (Q)
|
96% |
191137
246.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5136
189.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41488
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50310
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4001
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3972
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4220
72.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4418
76.3 IPS |
