MacBook Pro (16-inch, 2024)
Geekbench AI Score
15343
Single Precision Score
17059
Half Precision Score
15280
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Kozek |
| Upload Date | December 05 2024 10:12 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7549
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7971
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
6872
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12052
195.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12980
210.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13314
215.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
56590
66.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
59119
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
55877
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7132
565.7 IPS |
|
|
Object Detection (HP)
|
100% |
7547
598.6 IPS |
|
|
Object Detection (Q)
|
91% |
6418
512.8 IPS |
|
|
Face Detection (SP)
|
100% |
25614
304.4 IPS |
|
|
Face Detection (HP)
|
100% |
26833
318.8 IPS |
|
|
Face Detection (Q)
|
100% |
21059
250.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33479
257.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35973
277.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
29431
230.0 IPS |
|
|
Style Transfer (SP)
|
100% |
123838
159.2 IPS |
|
|
Style Transfer (HP)
|
100% |
134740
173.2 IPS |
|
|
Style Transfer (Q)
|
96% |
127195
164.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22610
834.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24046
887.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19248
710.7 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5171
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5205
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2799
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2797
48.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2679
46.3 IPS |
