MacBook Pro (14-inch, 2024)
Geekbench AI Score
5784
Single Precision Score
36718
Half Precision Score
48996
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | dd1989 |
| Upload Date | August 03 2025 03:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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% |
2154
400.6 IPS |
|
|
Image Classification (HP)
|
100% |
16844
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
20321
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23435
379.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31499
510.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17388
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122214
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
229888
269.4 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
100% |
19363
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
23051
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
5079
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
44393
527.5 IPS |
|
|
Face Detection (Q)
|
100% |
62627
744.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8847
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111467
858.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
173634
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
30626
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
236893
304.5 IPS |
|
|
Style Transfer (Q)
|
96% |
327536
422.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7036
259.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47819
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78568
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3161
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5433
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5387
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5961
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
15662
269.8 IPS |
|
|
Machine Translation (Q)
|
98% |
15594
269.5 IPS |
