MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4963
Single Precision Score
31428
Half Precision Score
34360
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jms_ch |
| Upload Date | June 09 2025 03:39 PM |
| Views | 24 |
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 (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.71 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1583
294.3 IPS |
|
|
Image Classification (HP)
|
100% |
16872
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
17912
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21654
351.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27353
443.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16658
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121414
141.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
120545
141.3 IPS |
|
|
Object Detection (SP)
|
100% |
1989
157.8 IPS |
|
|
Object Detection (HP)
|
100% |
19501
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
19563
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
4186
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
38271
454.7 IPS |
|
|
Face Detection (Q)
|
100% |
50744
602.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7215
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
108516
836.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
125759
983.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30977
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
225033
289.3 IPS |
|
|
Style Transfer (Q)
|
96% |
214224
276.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5941
219.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43776
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52541
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5396
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5348
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5221
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4924
84.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5168
89.3 IPS |
