Mac17,5
Geekbench AI Score
4689
Single Precision Score
34754
Half Precision Score
48116
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | JC_Coronel |
| Upload Date | April 10 2026 08:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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% |
2121
394.4 IPS |
|
|
Image Classification (HP)
|
100% |
14018
2.61 KIPS |
|
|
Image Classification (Q)
|
97% |
18553
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18291
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24519
397.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6930
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
133222
155.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
278271
326.2 IPS |
|
|
Object Detection (SP)
|
100% |
2349
186.3 IPS |
|
|
Object Detection (HP)
|
100% |
15495
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
21426
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
4152
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
42275
502.3 IPS |
|
|
Face Detection (Q)
|
100% |
65511
778.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6869
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
92587
713.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
155828
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
18630
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245455
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
293609
378.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4426
163.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50617
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
73696
2.72 KIPS |
|
|
Text Classification (SP)
|
99% |
7150
9.54 KIPS |
|
|
Text Classification (HP)
|
99% |
10647
14.2 KIPS |
|
|
Text Classification (Q)
|
92% |
10607
14.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
4455
76.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9381
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10468
180.9 IPS |
