MacBook Pro (14-inch, 2024)
Geekbench AI Score
17521
Single Precision Score
19730
Half Precision Score
18576
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | thomasburkitt |
| Upload Date | March 03 2026 10:17 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
7926
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
8326
1.55 KIPS |
|
|
Image Classification (Q)
|
96% |
7705
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14746
239.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15570
252.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14608
236.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
54502
63.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
60017
70.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
57584
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
7319
580.6 IPS |
|
|
Object Detection (HP)
|
100% |
7724
612.7 IPS |
|
|
Object Detection (Q)
|
91% |
7466
596.7 IPS |
|
|
Face Detection (SP)
|
100% |
27370
325.2 IPS |
|
|
Face Detection (HP)
|
100% |
31766
377.4 IPS |
|
|
Face Detection (Q)
|
100% |
28668
340.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
34314
264.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
36434
280.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
34088
266.7 IPS |
|
|
Style Transfer (SP)
|
100% |
123033
158.2 IPS |
|
|
Style Transfer (HP)
|
100% |
137568
176.8 IPS |
|
|
Style Transfer (Q)
|
96% |
133320
172.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23049
851.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23390
863.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20247
747.6 IPS |
|
|
Text Classification (SP)
|
100% |
3172
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5467
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5432
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6926
119.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7307
125.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7056
121.9 IPS |
