MacBook Pro (14-inch, 2024)
Geekbench AI Score
17105
Single Precision Score
19102
Half Precision Score
18175
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dodovdv |
| Upload Date | March 17 2026 05:52 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7845
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
8181
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
7694
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14470
234.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14874
241.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14274
231.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
54327
63.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
59577
69.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
57367
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
7068
560.6 IPS |
|
|
Object Detection (HP)
|
100% |
7456
591.4 IPS |
|
|
Object Detection (Q)
|
91% |
6938
554.5 IPS |
|
|
Face Detection (SP)
|
100% |
26935
320.0 IPS |
|
|
Face Detection (HP)
|
100% |
30696
364.7 IPS |
|
|
Face Detection (Q)
|
100% |
28340
336.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
32842
253.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34509
265.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
32995
258.2 IPS |
|
|
Style Transfer (SP)
|
100% |
121133
155.7 IPS |
|
|
Style Transfer (HP)
|
100% |
134052
172.3 IPS |
|
|
Style Transfer (Q)
|
96% |
130832
168.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20608
760.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20631
761.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18475
682.2 IPS |
|
|
Text Classification (SP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
7018
120.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7410
127.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7249
125.3 IPS |
