MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4541
Single Precision Score
32937
Half Precision Score
35850
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | chelozzz |
| Upload Date | September 02 2025 05:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1565
291.1 IPS |
|
|
Image Classification (HP)
|
100% |
16819
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
18551
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22378
362.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27788
450.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16569
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
120650
140.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
119452
140.0 IPS |
|
|
Object Detection (SP)
|
100% |
1952
154.9 IPS |
|
|
Object Detection (HP)
|
100% |
19919
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
19597
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
4155
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
38508
457.6 IPS |
|
|
Face Detection (Q)
|
100% |
49159
584.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7419
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
107490
828.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
125924
984.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30671
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
223367
287.1 IPS |
|
|
Style Transfer (Q)
|
96% |
214292
276.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5921
218.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43917
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52734
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3108
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5462
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5500
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7491
129.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7553
130.5 IPS |
