Mac Studio (2023)
Geekbench AI Score
4127
Single Precision Score
27098
Half Precision Score
30354
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 02:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
14214
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
16456
3.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19524
316.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24724
400.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12755
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
105633
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104239
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
99% |
15717
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17396
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3565
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
35653
423.6 IPS |
|
|
Face Detection (Q)
|
100% |
46840
556.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6196
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
88465
681.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
109396
854.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24952
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
205951
264.8 IPS |
|
|
Style Transfer (Q)
|
96% |
189619
244.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5014
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41004
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50063
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4083
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4132
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4435
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4262
73.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4479
77.4 IPS |
