MacBook Pro (16-inch, 2024)
Geekbench AI Score
16760
Single Precision Score
18917
Half Precision Score
17705
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ironbcc |
| Upload Date | April 17 2025 04:31 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8009
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
8022
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
7682
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14330
232.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15183
246.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14177
229.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
56343
65.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
58780
68.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57481
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
6820
540.9 IPS |
|
|
Object Detection (HP)
|
100% |
7443
590.4 IPS |
|
|
Object Detection (Q)
|
92% |
6993
558.2 IPS |
|
|
Face Detection (SP)
|
100% |
26125
310.4 IPS |
|
|
Face Detection (HP)
|
100% |
29376
349.0 IPS |
|
|
Face Detection (Q)
|
100% |
24248
288.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33007
254.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35403
272.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
32605
254.9 IPS |
|
|
Style Transfer (SP)
|
100% |
124285
159.8 IPS |
|
|
Style Transfer (HP)
|
100% |
134798
173.3 IPS |
|
|
Style Transfer (Q)
|
96% |
131314
169.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22819
842.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24761
914.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20659
762.8 IPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5215
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5308
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5618
96.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6084
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6073
105.0 IPS |
