MacBook Pro (14-inch, 2024)
Geekbench AI Score
5369
Single Precision Score
36848
Half Precision Score
49551
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | berrob14 |
| Upload Date | August 06 2025 09:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
17844
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
21882
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23307
377.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32238
522.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17166
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123249
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230038
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
19653
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
24140
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4650
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
42014
499.2 IPS |
|
|
Face Detection (Q)
|
100% |
58092
690.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8643
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
112435
866.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
179787
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25588
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
238556
306.7 IPS |
|
|
Style Transfer (Q)
|
96% |
297586
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5952
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46775
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78814
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2897
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5309
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5698
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5595
96.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16370
282.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16321
282.0 IPS |
