MacBook Pro (16-inch, 2024)
Geekbench AI Score
16917
Single Precision Score
18544
Half Precision Score
17569
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | AltusRossouw |
| Upload Date | May 29 2025 07:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
7753
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
8038
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
7467
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14524
235.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15158
245.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14412
233.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56606
66.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
56999
66.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
56317
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
6985
554.0 IPS |
|
|
Object Detection (HP)
|
100% |
7523
596.7 IPS |
|
|
Object Detection (Q)
|
92% |
7151
570.8 IPS |
|
|
Face Detection (SP)
|
100% |
26188
311.2 IPS |
|
|
Face Detection (HP)
|
100% |
29357
348.8 IPS |
|
|
Face Detection (Q)
|
100% |
24444
290.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33219
255.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34866
268.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
32372
252.9 IPS |
|
|
Style Transfer (SP)
|
100% |
124423
159.9 IPS |
|
|
Style Transfer (HP)
|
100% |
132139
169.9 IPS |
|
|
Style Transfer (Q)
|
96% |
130309
168.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24177
892.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21738
802.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19959
737.0 IPS |
|
|
Text Classification (SP)
|
100% |
2901
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5153
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5194
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5681
97.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6077
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6051
104.6 IPS |
