MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4885
Single Precision Score
31356
Half Precision Score
34764
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | aymanjaddaa |
| Upload Date | March 26 2026 01:19 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 4.06 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1507
280.3 IPS |
|
|
Image Classification (HP)
|
100% |
15116
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
17449
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22170
359.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
28191
457.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15568
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
119022
138.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
117953
138.2 IPS |
|
|
Object Detection (SP)
|
100% |
1921
152.4 IPS |
|
|
Object Detection (HP)
|
100% |
16882
1.34 KIPS |
|
|
Object Detection (Q)
|
89% |
16525
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
40336
479.3 IPS |
|
|
Face Detection (Q)
|
100% |
54905
652.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7117
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
105221
810.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
117541
918.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30625
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
217263
279.3 IPS |
|
|
Style Transfer (Q)
|
96% |
205704
265.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5498
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37833
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45334
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
5169
6.90 KIPS |
|
|
Text Classification (HP)
|
100% |
8233
11.0 KIPS |
|
|
Text Classification (Q)
|
92% |
8467
11.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4751
81.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5277
91.2 IPS |
