MacBook Pro (14-inch, 2024)
Geekbench AI Score
5756
Single Precision Score
36496
Half Precision Score
49446
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 17 2025 08:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5037j) |
| 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% |
2036
378.6 IPS |
|
|
Image Classification (HP)
|
100% |
16917
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
21088
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2403
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23474
380.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32661
529.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17550
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122335
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
228092
267.3 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
100% |
19603
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
23917
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
5111
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
44075
523.7 IPS |
|
|
Face Detection (Q)
|
100% |
62486
742.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8841
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
103803
799.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
173007
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
30580
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232539
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
325500
420.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6887
254.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48307
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76979
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3151
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5360
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5356
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6006
103.5 IPS |
|
|
Machine Translation (HP)
|
100% |
15982
275.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16028
277.0 IPS |
