MacBook Pro (16-inch, 2024)
Geekbench AI Score
18249
Single Precision Score
20444
Half Precision Score
19404
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | h31nz3 |
| Upload Date | April 20 2026 06:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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% |
7843
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
8179
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
7967
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14541
235.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15432
250.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14532
235.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
54438
63.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59826
69.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
57539
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
7129
565.5 IPS |
|
|
Object Detection (HP)
|
100% |
7666
608.1 IPS |
|
|
Object Detection (Q)
|
91% |
7000
559.5 IPS |
|
|
Face Detection (SP)
|
100% |
26954
320.3 IPS |
|
|
Face Detection (HP)
|
100% |
31256
371.4 IPS |
|
|
Face Detection (Q)
|
100% |
27846
330.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
32737
252.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35046
270.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
33118
259.1 IPS |
|
|
Style Transfer (SP)
|
100% |
121200
155.8 IPS |
|
|
Style Transfer (HP)
|
100% |
135103
173.7 IPS |
|
|
Style Transfer (Q)
|
96% |
131018
169.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21330
787.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21814
805.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19542
721.6 IPS |
|
|
Text Classification (SP)
|
99% |
6001
8.01 KIPS |
|
|
Text Classification (HP)
|
100% |
9687
12.9 KIPS |
|
|
Text Classification (Q)
|
93% |
9481
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
6763
116.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7047
121.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7250
125.3 IPS |
