MacBook Pro (16-inch, Nov 2023, 128GiB RAM) MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4890
Single Precision Score
7665
Half Precision Score
6076
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | benchmark_agent |
| Upload Date | April 09 2025 12:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.62 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1549
288.0 IPS |
|
|
Image Classification (HP)
|
100% |
2456
456.7 IPS |
|
|
Image Classification (Q)
|
96% |
1767
329.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2784
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3294
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16319
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
28615
33.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
22052
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
1943
154.1 IPS |
|
|
Object Detection (HP)
|
97% |
3107
247.3 IPS |
|
|
Object Detection (Q)
|
94% |
2246
179.0 IPS |
|
|
Face Detection (SP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
6432
76.4 IPS |
|
|
Face Detection (Q)
|
100% |
3758
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7101
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12390
95.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8674
67.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30391
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43932
56.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33934
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6004
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7998
295.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5118
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5661
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5806
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5093
87.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7266
125.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7244
125.2 IPS |
