Mac17,5
Geekbench AI Score
6862
Single Precision Score
7831
Half Precision Score
6899
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | semperfidelis316 |
| Upload Date | March 18 2026 01:29 AM |
| Views | 8 |
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% |
3351
623.2 IPS |
|
|
Image Classification (HP)
|
100% |
3580
665.8 IPS |
|
|
Image Classification (Q)
|
96% |
3466
647.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4134
67.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4450
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4361
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14211
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16186
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
15514
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3302
261.9 IPS |
|
|
Object Detection (HP)
|
100% |
3797
301.2 IPS |
|
|
Object Detection (Q)
|
91% |
3639
290.9 IPS |
|
|
Face Detection (SP)
|
100% |
8428
100.1 IPS |
|
|
Face Detection (HP)
|
100% |
11251
133.7 IPS |
|
|
Face Detection (Q)
|
100% |
10769
128.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12784
98.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13922
107.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12395
97.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27768
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35700
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
35820
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7254
267.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7443
274.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6629
244.8 IPS |
|
|
Text Classification (SP)
|
100% |
3708
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6411
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6306
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4431
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3322
57.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1434
24.8 IPS |
