Mac Studio (2023)
Geekbench AI Score
4380
Single Precision Score
7202
Half Precision Score
5568
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MarcusBenjamin |
| Upload Date | December 03 2025 01:07 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.58 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
2187
406.6 IPS |
|
|
Image Classification (Q)
|
96% |
1598
298.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2946
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16964
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33982
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
23875
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
1728
137.1 IPS |
|
|
Object Detection (HP)
|
97% |
2692
214.3 IPS |
|
|
Object Detection (Q)
|
94% |
1854
147.8 IPS |
|
|
Face Detection (SP)
|
100% |
3720
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
6294
74.8 IPS |
|
|
Face Detection (Q)
|
100% |
3400
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6263
48.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10693
82.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7393
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29233
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49378
63.5 IPS |
|
|
Style Transfer (Q)
|
96% |
37014
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5224
192.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7210
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4825
178.2 IPS |
|
|
Text Classification (SP)
|
100% |
2401
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4075
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
3957
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4463
76.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7929
137.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7748
133.9 IPS |
