MacBook Pro (14-inch, 2024)
Geekbench AI Score
5734
Single Precision Score
38142
Half Precision Score
50863
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | jokester01au |
| Upload Date | December 20 2025 09:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2145
399.0 IPS |
|
|
Image Classification (HP)
|
100% |
18680
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
22186
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23607
382.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32965
534.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17049
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122609
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
227767
267.0 IPS |
|
|
Object Detection (SP)
|
100% |
2555
202.7 IPS |
|
|
Object Detection (HP)
|
100% |
20693
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
24473
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4982
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
44107
524.1 IPS |
|
|
Face Detection (Q)
|
100% |
63374
753.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8770
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111555
859.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
179588
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
30394
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
238048
306.0 IPS |
|
|
Style Transfer (Q)
|
96% |
329262
424.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7032
259.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50060
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79778
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5725
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5642
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5667
97.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17352
298.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16853
291.2 IPS |
