Mac Studio (2023)
Geekbench AI Score
4387
Single Precision Score
27417
Half Precision Score
30453
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tokris |
| Upload Date | February 15 2025 05:43 PM |
| Views | 4 |
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 | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1490
277.0 IPS |
|
|
Image Classification (HP)
|
100% |
14592
2.71 KIPS |
|
|
Image Classification (Q)
|
96% |
17447
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19436
315.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24378
395.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13137
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
107285
125.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105808
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.9 IPS |
|
|
Object Detection (HP)
|
99% |
16375
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
18104
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3883
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
35773
425.1 IPS |
|
|
Face Detection (Q)
|
100% |
43765
520.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6461
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
88350
680.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
110123
860.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26799
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
207627
266.9 IPS |
|
|
Style Transfer (Q)
|
96% |
195888
252.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5447
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42435
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51057
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4025
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4867
83.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4298
74.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4363
75.4 IPS |
