MacBook Pro (16-inch, 2024)
Geekbench AI Score
17172
Single Precision Score
19372
Half Precision Score
18245
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 19 2026 03:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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% |
7859
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
8543
1.59 KIPS |
|
|
Image Classification (Q)
|
96% |
7873
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14536
235.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15119
245.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14358
232.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
54293
63.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
59833
69.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
57478
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
7176
569.2 IPS |
|
|
Object Detection (HP)
|
100% |
7471
592.6 IPS |
|
|
Object Detection (Q)
|
91% |
6875
549.5 IPS |
|
|
Face Detection (SP)
|
100% |
26691
317.1 IPS |
|
|
Face Detection (HP)
|
100% |
31081
369.3 IPS |
|
|
Face Detection (Q)
|
100% |
28586
339.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
32773
252.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34746
267.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
33161
259.5 IPS |
|
|
Style Transfer (SP)
|
100% |
121076
155.6 IPS |
|
|
Style Transfer (HP)
|
100% |
134872
173.4 IPS |
|
|
Style Transfer (Q)
|
96% |
131355
169.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20733
765.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21157
781.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18313
676.2 IPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5611
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5579
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
7081
122.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7459
128.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7194
124.3 IPS |
