MacBook Pro (14-inch, 2024)
Geekbench AI Score
4937
Single Precision Score
36192
Half Precision Score
50795
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 07:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2098
390.2 IPS |
|
|
Image Classification (HP)
|
100% |
17735
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
23029
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21586
349.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29749
482.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10033
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122559
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231664
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2445
193.9 IPS |
|
|
Object Detection (HP)
|
100% |
17663
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25947
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4212
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
43079
511.9 IPS |
|
|
Face Detection (Q)
|
100% |
60191
715.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8472
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99284
764.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162469
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24194
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232009
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
318677
411.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6060
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51522
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86817
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5689
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4526
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16396
282.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18041
311.8 IPS |
