MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4754
Single Precision Score
7494
Half Precision Score
6004
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gpt |
| Upload Date | September 09 2025 04:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1523
283.3 IPS |
|
|
Image Classification (HP)
|
100% |
2411
448.4 IPS |
|
|
Image Classification (Q)
|
96% |
1825
340.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2704
43.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3300
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16733
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28341
33.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
21538
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
1923
152.6 IPS |
|
|
Object Detection (HP)
|
97% |
2828
225.1 IPS |
|
|
Object Detection (Q)
|
94% |
2142
170.7 IPS |
|
|
Face Detection (SP)
|
100% |
3897
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
6486
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
3750
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7205
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12474
96.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8596
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30179
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41380
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33832
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5872
216.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7859
290.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5135
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
2845
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5428
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5256
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4680
80.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7493
129.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7453
128.8 IPS |
