MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4875
Single Precision Score
30467
Half Precision Score
33383
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Rowles66 |
| Upload Date | January 08 2025 02:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1567
291.4 IPS |
|
|
Image Classification (HP)
|
100% |
16200
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
17985
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21875
354.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27218
441.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16612
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120614
140.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
119606
140.2 IPS |
|
|
Object Detection (SP)
|
100% |
2001
158.7 IPS |
|
|
Object Detection (HP)
|
100% |
16783
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
16869
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
4053
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
38378
456.0 IPS |
|
|
Face Detection (Q)
|
100% |
49103
583.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7414
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
108131
833.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
126072
985.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30782
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
222497
286.0 IPS |
|
|
Style Transfer (Q)
|
96% |
212143
273.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5919
218.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44370
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50863
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2896
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4984
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5120
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4822
83.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4705
81.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5089
87.9 IPS |
