Mac Studio (2023)
Geekbench AI Score
4549
Single Precision Score
26843
Half Precision Score
30223
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | l3uzz |
| Upload Date | May 18 2025 08:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,14 |
| Motherboard | Mac14,14 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.68 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1463
272.1 IPS |
|
|
Image Classification (HP)
|
100% |
13574
2.52 KIPS |
|
|
Image Classification (Q)
|
96% |
16238
3.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19818
321.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24593
398.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18759
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
104864
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103946
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
1825
144.8 IPS |
|
|
Object Detection (HP)
|
99% |
15821
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17777
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3758
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
35530
422.2 IPS |
|
|
Face Detection (Q)
|
100% |
46380
551.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6376
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86408
665.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
108450
847.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29401
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
201670
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
190279
245.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5986
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40639
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49631
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2371
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4160
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4143
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4322
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4158
71.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4379
75.7 IPS |
