MacBook Pro (16-inch, 2024)
Geekbench AI Score
5803
Single Precision Score
37643
Half Precision Score
50479
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 21 2025 11:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
2161
401.8 IPS |
|
|
Image Classification (HP)
|
100% |
18315
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
21793
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23558
381.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31972
518.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17521
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122573
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230712
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2596
205.9 IPS |
|
|
Object Detection (HP)
|
100% |
20075
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
25044
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
5101
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
44454
528.2 IPS |
|
|
Face Detection (Q)
|
100% |
63089
749.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8822
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112439
866.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
176221
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
30736
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
238254
306.3 IPS |
|
|
Style Transfer (Q)
|
96% |
326754
421.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6937
256.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48782
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80229
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3308
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5660
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5471
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6019
103.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16368
281.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16735
289.2 IPS |
