MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3981
Single Precision Score
30384
Half Precision Score
33838
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | matta |
| Upload Date | March 18 2026 06:49 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1509
280.7 IPS |
|
|
Image Classification (HP)
|
100% |
16519
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
18342
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22214
360.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27430
444.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8314
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
115635
134.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
114590
134.3 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.5 IPS |
|
|
Object Detection (HP)
|
100% |
17927
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
20838
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3407
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
39747
472.3 IPS |
|
|
Face Detection (Q)
|
100% |
51879
616.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6934
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
97757
753.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
122134
954.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21989
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
228908
294.3 IPS |
|
|
Style Transfer (Q)
|
96% |
220612
284.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5035
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48961
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56239
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5602
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5590
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3259
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3614
62.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3728
64.4 IPS |
