MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4752
Single Precision Score
30216
Half Precision Score
33055
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HoukCC |
| Upload Date | July 15 2025 12:55 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1520
282.7 IPS |
|
|
Image Classification (HP)
|
100% |
16358
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
17502
3.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21665
351.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27557
446.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16665
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119078
138.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
117972
138.3 IPS |
|
|
Object Detection (SP)
|
100% |
1949
154.6 IPS |
|
|
Object Detection (HP)
|
100% |
16766
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
17457
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3992
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
38611
458.8 IPS |
|
|
Face Detection (Q)
|
100% |
48516
576.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7105
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
106742
822.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
116815
913.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30253
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
219440
282.1 IPS |
|
|
Style Transfer (Q)
|
96% |
207578
267.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5740
212.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41671
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51318
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2768
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4849
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4829
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4782
82.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4907
84.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5379
93.0 IPS |
