Mac Studio (2023)
Geekbench AI Score
4477
Single Precision Score
27458
Half Precision Score
27882
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | zinger |
| Upload Date | November 02 2025 03:04 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.48 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1445
268.8 IPS |
|
|
Image Classification (HP)
|
100% |
14428
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
6801
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20102
325.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24800
402.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18441
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
105108
122.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103949
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (HP)
|
99% |
16407
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
18214
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3706
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
35717
424.4 IPS |
|
|
Face Detection (Q)
|
100% |
46360
550.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6253
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87167
671.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
110521
863.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27853
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
205343
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
190427
245.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5634
208.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44149
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50572
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2487
3.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4188
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4160
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4367
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4121
71.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4332
74.9 IPS |
