Mac Studio (2023)
Geekbench AI Score
4460
Single Precision Score
26579
Half Precision Score
29763
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | DFW |
| Upload Date | August 04 2025 12:04 AM |
| Views | 5 |
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 | 3.45 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1428
265.6 IPS |
|
|
Image Classification (HP)
|
100% |
13802
2.57 KIPS |
|
|
Image Classification (Q)
|
96% |
16137
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1680
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19494
316.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23929
387.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18920
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
106518
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105243
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.0 IPS |
|
|
Object Detection (HP)
|
99% |
15691
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17613
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3686
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
33301
395.7 IPS |
|
|
Face Detection (Q)
|
100% |
43127
512.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6190
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87341
672.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
108091
844.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29595
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205237
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
194209
250.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5791
213.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40636
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48993
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4095
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4056
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4310
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4237
73.2 IPS |
