MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
16218
Single Precision Score
20034
Half Precision Score
18848
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | aerodinesh |
| Upload Date | July 09 2025 01:38 PM |
| Views | 6 |
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 | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7560
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
8058
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
7216
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16159
261.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17105
277.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16318
264.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
66169
77.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69706
81.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
68491
80.2 IPS |
|
|
Object Detection (SP)
|
100% |
7005
555.7 IPS |
|
|
Object Detection (HP)
|
100% |
7852
622.8 IPS |
|
|
Object Detection (Q)
|
92% |
7188
573.8 IPS |
|
|
Face Detection (SP)
|
100% |
27358
325.1 IPS |
|
|
Face Detection (HP)
|
100% |
30719
365.0 IPS |
|
|
Face Detection (Q)
|
100% |
25464
302.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32942
253.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34668
267.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
32235
251.8 IPS |
|
|
Style Transfer (SP)
|
100% |
143766
184.8 IPS |
|
|
Style Transfer (HP)
|
100% |
161387
207.5 IPS |
|
|
Style Transfer (Q)
|
96% |
153476
198.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22044
814.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21458
792.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19270
711.5 IPS |
|
|
Text Classification (SP)
|
100% |
2895
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
4963
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5339
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2689
46.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7545
130.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7532
130.2 IPS |
