Mac Studio (2023)
Geekbench AI Score
4572
Single Precision Score
7455
Half Precision Score
5866
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 08 2026 01:33 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1451
269.9 IPS |
|
|
Image Classification (HP)
|
100% |
2319
431.2 IPS |
|
|
Image Classification (Q)
|
96% |
1672
312.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2979
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18566
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
36438
42.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24877
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
97% |
2821
224.6 IPS |
|
|
Object Detection (Q)
|
94% |
2066
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
3846
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
6330
75.2 IPS |
|
|
Face Detection (Q)
|
100% |
3561
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6343
48.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11809
91.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8105
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28820
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48657
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
37472
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5653
208.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7130
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5037
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
2517
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4188
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4163
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4654
80.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8440
145.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8320
143.8 IPS |
