MacBook Pro (14-inch, 2024)
Geekbench AI Score
5556
Single Precision Score
37154
Half Precision Score
49996
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 03 2025 02:39 AM |
| Views | 3 |
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 | 4.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
18001
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
21706
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23494
380.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32775
531.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16431
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122356
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
228708
268.1 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
19624
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23654
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4745
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
43856
521.1 IPS |
|
|
Face Detection (Q)
|
100% |
62558
743.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8535
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
109762
845.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
175439
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
29499
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
235620
302.9 IPS |
|
|
Style Transfer (Q)
|
96% |
323263
417.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6725
248.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48581
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80117
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3299
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5495
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5432
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5330
91.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16304
280.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16421
283.8 IPS |
