MacBook Pro (14-inch, 2024)
Geekbench AI Score
5648
Single Precision Score
37372
Half Precision Score
50719
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 07:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2084
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
17470
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
21982
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23723
384.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33217
538.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16995
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122200
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
229781
269.3 IPS |
|
|
Object Detection (SP)
|
100% |
2522
200.0 IPS |
|
|
Object Detection (HP)
|
100% |
20314
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24362
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4795
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
44676
530.8 IPS |
|
|
Face Detection (Q)
|
100% |
63842
758.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8646
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
106187
818.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
180652
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
29883
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
237766
305.7 IPS |
|
|
Style Transfer (Q)
|
96% |
320494
413.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7073
261.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49434
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81351
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5642
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5561
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5578
96.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16422
282.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16483
284.8 IPS |
