MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4743
Single Precision Score
30165
Half Precision Score
32818
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HoukCC |
| Upload Date | May 20 2025 11:20 PM |
| Views | 14 |
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% |
1517
282.1 IPS |
|
|
Image Classification (HP)
|
100% |
16635
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
17793
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22209
360.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27270
442.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16678
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
119380
139.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
117863
138.1 IPS |
|
|
Object Detection (SP)
|
100% |
1946
154.4 IPS |
|
|
Object Detection (HP)
|
100% |
19093
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
16825
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3960
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
38373
456.0 IPS |
|
|
Face Detection (Q)
|
100% |
49651
590.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7170
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
100012
770.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
115631
904.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30295
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
219343
282.0 IPS |
|
|
Style Transfer (Q)
|
96% |
208394
268.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5702
210.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37576
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50022
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2711
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4826
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4776
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4798
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4853
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5270
91.1 IPS |
