MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
7257
Single Precision Score
7825
Half Precision Score
2650
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | wakhid |
| Upload Date | September 22 2025 10:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.8 (Build 23J21) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4075
757.7 IPS |
|
|
Image Classification (HP)
|
100% |
4392
816.8 IPS |
|
|
Image Classification (Q)
|
97% |
3357
626.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4334
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5968
96.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6167
100.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24988
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26773
31.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
24745
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
4291
340.4 IPS |
|
|
Object Detection (HP)
|
100% |
4645
368.5 IPS |
|
|
Object Detection (Q)
|
92% |
3690
294.5 IPS |
|
|
Face Detection (SP)
|
100% |
11121
132.1 IPS |
|
|
Face Detection (HP)
|
100% |
14326
170.2 IPS |
|
|
Face Detection (Q)
|
100% |
10118
120.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18512
142.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20663
159.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
128.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51626
66.4 IPS |
|
|
Style Transfer (HP)
|
100% |
60375
77.6 IPS |
|
|
Style Transfer (Q)
|
96% |
56630
73.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10600
391.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11632
429.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9353
345.4 IPS |
|
|
Text Classification (SP)
|
100% |
1472
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (Q)
|
93% |
1012
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1670
28.9 IPS |
