Mac17,4
Geekbench AI Score
13339
Single Precision Score
24017
Half Precision Score
24655
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | March 11 2026 02:55 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,4 |
| Model ID | Mac17,4 |
| Motherboard | Mac17,4 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6036
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
10322
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
10475
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9856
159.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15616
253.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16488
267.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37703
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
90915
106.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
118403
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
6304
500.0 IPS |
|
|
Object Detection (HP)
|
100% |
11074
878.4 IPS |
|
|
Object Detection (Q)
|
94% |
10727
855.3 IPS |
|
|
Face Detection (SP)
|
100% |
17809
211.6 IPS |
|
|
Face Detection (HP)
|
100% |
34412
408.9 IPS |
|
|
Face Detection (Q)
|
100% |
28677
340.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27629
212.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
50630
390.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
54736
427.3 IPS |
|
|
Style Transfer (SP)
|
100% |
78162
100.5 IPS |
|
|
Style Transfer (HP)
|
100% |
163817
210.6 IPS |
|
|
Style Transfer (Q)
|
96% |
207959
268.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15817
584.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30353
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27905
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3011
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5398
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5503
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
6886
118.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8417
145.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7549
130.5 IPS |
