Mac17,5
Geekbench AI Score
7060
Single Precision Score
8261
Half Precision Score
6946
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dd1989 |
| Upload Date | March 11 2026 02:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,5 |
| Model ID | Mac17,5 |
| Motherboard | Mac17,5 |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | Apple A18 Pro |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3373
627.3 IPS |
|
|
Image Classification (HP)
|
100% |
3531
656.7 IPS |
|
|
Image Classification (Q)
|
96% |
3403
635.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4174
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4451
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4282
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13850
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15810
18.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
15918
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3419
271.2 IPS |
|
|
Object Detection (HP)
|
100% |
3830
303.8 IPS |
|
|
Object Detection (Q)
|
91% |
3657
292.2 IPS |
|
|
Face Detection (SP)
|
100% |
9063
107.7 IPS |
|
|
Face Detection (HP)
|
100% |
11362
135.0 IPS |
|
|
Face Detection (Q)
|
100% |
10844
128.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12968
99.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14200
109.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
13476
105.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31655
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36741
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
36189
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7304
269.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7425
274.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6672
246.4 IPS |
|
|
Text Classification (SP)
|
100% |
3696
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6181
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6191
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4597
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5720
98.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1412
24.4 IPS |
