MacBook Pro (16-inch, 2024)
Geekbench AI Score
5992
Single Precision Score
41822
Half Precision Score
56547
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | April 13 2026 09:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
2145
398.9 IPS |
|
|
Image Classification (HP)
|
100% |
20384
3.79 KIPS |
|
|
Image Classification (Q)
|
97% |
26908
5.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24068
390.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
34158
553.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15726
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123602
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
234145
274.4 IPS |
|
|
Object Detection (SP)
|
100% |
2715
215.4 IPS |
|
|
Object Detection (HP)
|
100% |
21824
1.73 KIPS |
|
|
Object Detection (Q)
|
89% |
26715
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
5393
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
46794
556.0 IPS |
|
|
Face Detection (Q)
|
100% |
72736
864.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8988
69.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
114439
881.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
188839
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
30207
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
241879
310.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301284
388.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5461
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53179
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83884
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
5905
7.88 KIPS |
|
|
Text Classification (HP)
|
100% |
9473
12.6 KIPS |
|
|
Text Classification (Q)
|
93% |
9164
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
5884
101.4 IPS |
|
|
Machine Translation (HP)
|
100% |
18957
326.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18280
315.9 IPS |
