Mac17,5
Geekbench AI Score
6922
Single Precision Score
8169
Half Precision Score
6804
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 16 2026 03:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.2 (Build 25D2140) |
| 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% |
3296
613.0 IPS |
|
|
Image Classification (HP)
|
100% |
3548
659.8 IPS |
|
|
Image Classification (Q)
|
96% |
3394
633.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4153
67.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4565
74.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4241
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13816
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15220
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
15326
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
3301
261.9 IPS |
|
|
Object Detection (HP)
|
100% |
3792
300.8 IPS |
|
|
Object Detection (Q)
|
91% |
3632
290.3 IPS |
|
|
Face Detection (SP)
|
100% |
8911
105.9 IPS |
|
|
Face Detection (HP)
|
100% |
11547
137.2 IPS |
|
|
Face Detection (Q)
|
100% |
10696
127.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12661
97.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14068
108.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
13372
104.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31012
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35940
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
35128
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7144
263.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7398
273.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6721
248.2 IPS |
|
|
Text Classification (SP)
|
100% |
3587
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6193
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6111
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4513
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5293
91.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1287
22.2 IPS |
