Mac Studio (2023)
Geekbench AI Score
4108
Single Precision Score
27353
Half Precision Score
30508
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | TerrenceMiao |
| Upload Date | April 08 2025 04:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
14837
2.76 KIPS |
|
|
Image Classification (Q)
|
96% |
17129
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19749
320.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24822
402.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12766
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106212
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105575
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1667
132.2 IPS |
|
|
Object Detection (HP)
|
99% |
16143
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
17830
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3533
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
35079
416.8 IPS |
|
|
Face Detection (Q)
|
100% |
44171
524.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6146
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
88732
683.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
111119
868.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24410
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202821
260.7 IPS |
|
|
Style Transfer (Q)
|
96% |
191912
247.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5061
186.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42493
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50866
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4194
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4208
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4424
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4149
71.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4329
74.8 IPS |
