Mac Studio (2023)
Geekbench AI Score
17818
Single Precision Score
19383
Half Precision Score
18214
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | DFW |
| Upload Date | August 04 2025 12:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6151
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
6118
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5688
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19061
309.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19541
316.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18511
300.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
106359
124.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
114121
133.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
109016
127.7 IPS |
|
|
Object Detection (SP)
|
100% |
6204
492.1 IPS |
|
|
Object Detection (HP)
|
100% |
6275
497.7 IPS |
|
|
Object Detection (Q)
|
92% |
5912
471.9 IPS |
|
|
Face Detection (SP)
|
100% |
31672
376.3 IPS |
|
|
Face Detection (HP)
|
100% |
32200
382.6 IPS |
|
|
Face Detection (Q)
|
100% |
28471
338.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33177
255.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35884
276.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
33179
259.2 IPS |
|
|
Style Transfer (SP)
|
100% |
195567
251.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203711
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
197079
254.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23975
885.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24940
920.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21698
801.2 IPS |
|
|
Text Classification (SP)
|
100% |
2334
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3626
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3697
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3663
63.3 IPS |
