MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
18329
Single Precision Score
20488
Half Precision Score
18757
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 05 2025 07:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.68 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7963
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8484
1.58 KIPS |
|
|
Image Classification (Q)
|
96% |
7895
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19554
317.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20459
331.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18923
306.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
91012
106.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
93372
108.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
90978
106.6 IPS |
|
|
Object Detection (SP)
|
100% |
7616
604.1 IPS |
|
|
Object Detection (HP)
|
100% |
8125
644.5 IPS |
|
|
Object Detection (Q)
|
92% |
7847
626.4 IPS |
|
|
Face Detection (SP)
|
100% |
30611
363.7 IPS |
|
|
Face Detection (HP)
|
100% |
36066
428.5 IPS |
|
|
Face Detection (Q)
|
100% |
30187
358.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
38122
293.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
40452
311.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
36138
282.3 IPS |
|
|
Style Transfer (SP)
|
100% |
187451
241.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202512
260.3 IPS |
|
|
Style Transfer (Q)
|
96% |
196925
254.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25408
938.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26381
974.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23162
855.3 IPS |
|
|
Text Classification (SP)
|
100% |
2835
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
5306
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
4727
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2517
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2394
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2149
37.1 IPS |
