MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4060
Single Precision Score
30318
Half Precision Score
34192
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 02 2025 01:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.77 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1563
290.7 IPS |
|
|
Image Classification (HP)
|
100% |
15668
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
19649
3.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21734
352.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
26694
432.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8810
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
121151
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
120918
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1808
143.4 IPS |
|
|
Object Detection (HP)
|
100% |
17353
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
20118
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3402
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
38368
455.9 IPS |
|
|
Face Detection (Q)
|
100% |
51232
608.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6960
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
97256
749.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
120934
945.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22227
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
228335
293.5 IPS |
|
|
Style Transfer (Q)
|
96% |
218585
282.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5152
190.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47661
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55034
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3071
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
5095
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5050
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3232
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4431
76.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4548
78.6 IPS |
