MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
16008
Single Precision Score
20112
Half Precision Score
18993
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | aerodinesh |
| Upload Date | July 09 2025 01:43 PM |
| Views | 8 |
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% |
7722
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
7975
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
7285
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15561
252.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17405
282.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16202
262.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
66243
77.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
70245
82.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
68308
80.0 IPS |
|
|
Object Detection (SP)
|
100% |
6926
549.4 IPS |
|
|
Object Detection (HP)
|
100% |
8053
638.7 IPS |
|
|
Object Detection (Q)
|
92% |
7587
605.6 IPS |
|
|
Face Detection (SP)
|
100% |
28115
334.1 IPS |
|
|
Face Detection (HP)
|
100% |
29445
349.9 IPS |
|
|
Face Detection (Q)
|
100% |
25139
298.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
34182
263.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
34624
266.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
32194
251.5 IPS |
|
|
Style Transfer (SP)
|
100% |
142888
183.7 IPS |
|
|
Style Transfer (HP)
|
100% |
159112
204.5 IPS |
|
|
Style Transfer (Q)
|
96% |
156614
202.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22437
828.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22121
816.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19888
734.4 IPS |
|
|
Text Classification (SP)
|
100% |
2808
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
5090
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5274
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2317
39.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7551
130.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7513
129.8 IPS |
