Mac Pro (2023)
Geekbench AI Score
4525
Single Precision Score
7036
Half Precision Score
5611
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 13 2025 09:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac Pro (2023) |
| Model ID | Mac14,8 |
| Motherboard | Mac14,8 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.68 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1457
271.0 IPS |
|
|
Image Classification (HP)
|
100% |
2269
421.9 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3053
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19047
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31249
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
23172
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
1824
144.7 IPS |
|
|
Object Detection (HP)
|
97% |
2783
221.5 IPS |
|
|
Object Detection (Q)
|
94% |
2019
160.9 IPS |
|
|
Face Detection (SP)
|
100% |
3615
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
6230
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
3456
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6267
48.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11181
86.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7648
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29020
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41811
53.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33379
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6020
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7642
282.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5010
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4199
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4173
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4332
74.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6600
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7029
121.5 IPS |
