MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
18803
Single Precision Score
20948
Half Precision Score
19864
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | aymanjaddaa |
| Upload Date | March 26 2026 01:16 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7760
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
8069
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
7712
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16803
272.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16928
274.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16463
266.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
64137
74.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
72712
84.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
69652
81.6 IPS |
|
|
Object Detection (SP)
|
100% |
7344
582.5 IPS |
|
|
Object Detection (HP)
|
100% |
7883
625.3 IPS |
|
|
Object Detection (Q)
|
91% |
7195
575.0 IPS |
|
|
Face Detection (SP)
|
100% |
29184
346.8 IPS |
|
|
Face Detection (HP)
|
100% |
33601
399.3 IPS |
|
|
Face Detection (Q)
|
100% |
30485
362.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
32037
246.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34782
268.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
33274
260.4 IPS |
|
|
Style Transfer (SP)
|
100% |
142750
183.5 IPS |
|
|
Style Transfer (HP)
|
100% |
161617
207.8 IPS |
|
|
Style Transfer (Q)
|
96% |
156207
201.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20686
763.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20618
761.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19143
706.9 IPS |
|
|
Text Classification (SP)
|
99% |
5180
6.91 KIPS |
|
|
Text Classification (HP)
|
99% |
8181
10.9 KIPS |
|
|
Text Classification (Q)
|
93% |
8409
11.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
6290
108.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6524
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5895
101.9 IPS |
