MacBook Pro (16-inch, 2024)
Geekbench AI Score
5755
Single Precision Score
37268
Half Precision Score
49955
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ThatsTeo_ |
| Upload Date | September 09 2025 07:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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% |
2147
399.3 IPS |
|
|
Image Classification (HP)
|
100% |
17788
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
21835
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23467
380.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32922
533.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17345
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122728
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
229069
268.5 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
100% |
19779
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23896
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
5087
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
44187
525.0 IPS |
|
|
Face Detection (Q)
|
100% |
63662
756.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8791
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
112425
866.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
175955
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
30605
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
238570
306.7 IPS |
|
|
Style Transfer (Q)
|
96% |
326843
421.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6882
254.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49625
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78638
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3125
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
5420
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5318
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5946
102.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16004
275.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16065
277.6 IPS |
