MacBook Pro (16-inch, 2024)
Geekbench AI Score
5749
Single Precision Score
36832
Half Precision Score
49609
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | virgil89 |
| Upload Date | October 23 2025 10:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
17058
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
21642
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23136
375.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32132
520.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18956
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123291
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
229135
268.6 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
19469
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
23168
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
4579
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
45502
540.7 IPS |
|
|
Face Detection (Q)
|
100% |
64153
762.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8623
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110431
850.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
177324
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35606
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
239025
307.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301503
389.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7032
259.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46331
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77976
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5401
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5753
99.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16140
278.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16728
289.1 IPS |
