Mac17,5
Geekbench AI Score
7005
Single Precision Score
8279
Half Precision Score
7112
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 06 2026 08:37 PM |
| Views | 9 |
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% |
3320
617.4 IPS |
|
|
Image Classification (HP)
|
100% |
3528
656.1 IPS |
|
|
Image Classification (Q)
|
96% |
3396
634.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4100
66.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4447
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4405
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14209
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16244
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
15907
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3340
264.9 IPS |
|
|
Object Detection (HP)
|
100% |
3828
303.6 IPS |
|
|
Object Detection (Q)
|
91% |
3654
292.0 IPS |
|
|
Face Detection (SP)
|
100% |
8976
106.6 IPS |
|
|
Face Detection (HP)
|
100% |
11722
139.3 IPS |
|
|
Face Detection (Q)
|
100% |
10820
128.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12823
98.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14156
109.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
13468
105.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31448
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36199
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
35600
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7207
266.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7423
274.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6727
248.4 IPS |
|
|
Text Classification (SP)
|
100% |
3702
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6133
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6085
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4565
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5677
97.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1794
31.0 IPS |
