MacBook Pro (14-inch, 2024)
Geekbench AI Score
5563
Single Precision Score
39637
Half Precision Score
53800
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | thomasburkitt |
| Upload Date | March 03 2026 10:19 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 3.99 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
20156
3.75 KIPS |
|
|
Image Classification (Q)
|
97% |
26168
4.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2244
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24104
390.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
34348
556.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16975
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
124669
145.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
230100
269.7 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
22498
1.78 KIPS |
|
|
Object Detection (Q)
|
91% |
27340
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
4678
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
46543
553.0 IPS |
|
|
Face Detection (Q)
|
100% |
66634
791.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8417
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
115569
890.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
184911
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
29661
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
241317
310.2 IPS |
|
|
Style Transfer (Q)
|
96% |
331381
427.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6925
255.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52129
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88079
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5486
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5460
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5675
97.8 IPS |
|
|
Machine Translation (HP)
|
100% |
18924
326.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18298
316.2 IPS |
