Mac Studio (2023)
Geekbench AI Score
4010
Single Precision Score
26895
Half Precision Score
30486
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | topgun966 |
| Upload Date | March 09 2025 04:09 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 3.44 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
14695
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
17714
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19480
315.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24842
402.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12479
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
106561
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105859
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
15639
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17381
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3478
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
33634
399.6 IPS |
|
|
Face Detection (Q)
|
100% |
44919
533.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6155
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86994
670.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
111520
871.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25117
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205680
264.4 IPS |
|
|
Style Transfer (Q)
|
96% |
194167
250.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4978
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42554
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52142
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3900
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3926
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4330
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4157
71.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4302
74.3 IPS |
