MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
13580
Single Precision Score
15680
Half Precision Score
14552
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 03:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6443
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6838
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6211
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11111
180.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12331
199.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11705
189.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
45612
53.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
47303
55.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
46519
54.5 IPS |
|
|
Object Detection (SP)
|
100% |
6416
508.9 IPS |
|
|
Object Detection (HP)
|
100% |
6745
535.0 IPS |
|
|
Object Detection (Q)
|
92% |
6204
495.2 IPS |
|
|
Face Detection (SP)
|
100% |
17038
202.4 IPS |
|
|
Face Detection (HP)
|
100% |
22161
263.3 IPS |
|
|
Face Detection (Q)
|
100% |
18575
220.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
29285
225.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
31449
242.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
28710
224.3 IPS |
|
|
Style Transfer (SP)
|
100% |
94839
121.9 IPS |
|
|
Style Transfer (HP)
|
100% |
105141
135.2 IPS |
|
|
Style Transfer (Q)
|
96% |
101743
131.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16426
606.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17273
637.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14665
541.5 IPS |
|
|
Text Classification (SP)
|
100% |
2861
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5228
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5173
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4581
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5049
87.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4932
85.2 IPS |
