Mac Pro (2023)
Geekbench AI Score
4561
Single Precision Score
26785
Half Precision Score
29960
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | Gonfonix |
| Upload Date | July 13 2025 05:21 AM |
| Views | 7 |
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 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 | 3.67 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1463
272.1 IPS |
|
|
Image Classification (HP)
|
100% |
13569
2.52 KIPS |
|
|
Image Classification (Q)
|
96% |
15968
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19760
320.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24581
398.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18812
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
104921
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103933
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (HP)
|
99% |
15872
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17546
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3828
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
35570
422.7 IPS |
|
|
Face Detection (Q)
|
100% |
46143
548.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6326
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
85863
661.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
107222
837.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29778
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202235
260.0 IPS |
|
|
Style Transfer (Q)
|
96% |
189178
244.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6000
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40715
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48650
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4083
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4064
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4337
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4147
71.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4399
76.0 IPS |
